Results 1 to 10 of about 109,173 (181)

Smartphone Sensors for Stone Lithography Authentication [PDF]

Sensors, 2014
Nowadays mobile phones include quality photo and video cameras, access to wireless networks and the internet, GPS assistance and other innovative systems.
Giuseppe Schirripa Spagnolo, Lorenzo Cozzella, Donato Papalillo   +2 more
doaj   +4 more sources

QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data ...
B. Sirmacek, R. Lindenbergh, J. Wang
doaj   +1 more source

Indoor Localization Methods for Smartphones with Multi-Source Sensors Fusion: Tasks, Challenges, Strategies, and Perspectives

Sensors
Positioning information greatly enhances the convenience of people’s lives and the efficiency of societal operations. However, due to the impact of complex indoor environments, GNSS signals suffer from multipath effects, blockages, and attenuation ...
Jianhua Liu, Zhijie Yang, Sisi Zlatanova, Songnian Li, Bing Yu   +4 more
doaj   +1 more source

Smartphone-based square wave voltammetry system with screen-printed graphene electrodes for norepinephrine detection

Smart Materials in Medicine, 2020
In recent years, researchers have begun to develop smartphone-based electrochemical system to support healthcare services. These systems are always combined with screen-printed electrodes to perform early diagnosis, chronic disease monitoring, and health
Daizong Ji, Zhouyuanjing Shi, Zixiang Liu, Sze Shin Low, Jingwen Zhu, Tingkai Zhang, Zetao Chen, Xiongjie Yu, Yanli Lu, Di Lu, Qingjun Liu   +10 more
doaj   +1 more source

Smartphone-based colorimetric detection of urinary glucose using a novel green and red/green approach

Biosensors and Bioelectronics: X
Urine dipsticks are commonly used to detect pathological changes in urine due to their low cost and easy operation, having glucose parameter to detect glucosuria.
Tileshwar Sahare, Simran Rana, Badri Narayana Sahoo, Milan Khanda, Abhijeet Joshi   +4 more
doaj   +1 more source

Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection

IEEE Access
The widespread use of smartphones has brought convenience and connectivity to the fingertips of the masses. As a result, this has paved the way for potential security vulnerabilities concerning sensitive data, particularly by exploiting side-channel ...
Sidra Abbas, Stephen Ojo, Imen Bouazzi, Gabriel Avelino Sampedro, Abdullah Al Hejaili, Ahmad S. Almadhor, Rastislav Kulhanek   +6 more
doaj   +1 more source

A Pose Awareness Solution for Estimating Pedestrian Walking Speed

Remote Sensing, 2018
Pedestrian walking speeds (PWS) can be used as a “body speedometer” to reveal health status information of pedestrians and positioning indoors with other locating methods.
Guangyi Guo, Ruizhi Chen, Feng Ye, Liang Chen, Yuanjin Pan, Mengyun Liu, Zhipeng Cao   +6 more
doaj   +1 more source

Utilising Smartphone Light Sensors to Measure Egg White Ovalbumin Concentration in Eggs Collected from Yinchuan City, China

Journal of Chemistry, 2020
Cost-effective, portable, and rapid smartphone sensors will play a critical role in bringing chemical detection technologies from central laboratories to simple laboratories, such as those of schools in less-developed area. In this work, we study whether
Linlin Liu, Hualin Bi
doaj   +1 more source

A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones [PDF]

, 2018
As smartphones become more popular, applications are being developed with new and innovative ways to solve problems in the day-to-day lives of users. One area of smartphone technology that has been developed in recent years is human activity recognition (
Ahamed, Sheikh Iqbal, Arif, Muhammad, Chu, William, Falfas, Mohammed, Kattan, Ahmed, Tamma, Chandana   +5 more
core   +1 more source

Wearable Sensor-Free Adult Physical Activity Monitoring Using Smartphone IMU Signals: Cross-Subject Deep Learning with Window-Length and Sensor Modality Studies

Information
Human activity recognition (HAR) using inertial sensors is essential for health monitoring and wellness applications, yet robust classification in real-world adult scenarios remains challenging due to subject variability and activity transitions in ...
Mussa Turdalyuly, Ay Zholdassova, Tolganay Turdalykyzy, Aydin Doshybekov   +3 more
doaj   +1 more source